Who feels happier right now?: The impact of temporal distance on children's judgements of emotional intensity
Bibliographic record
Abstract
Do children consider temporal distance in their reasoning about the world? Using a novel method that relied minimally on verbal ability, we asked N = 106 3- to 6-year-olds to judge which of two characters felt more 'happy'/'sad' right now: one engaging in a pleasant/unpleasant activity tomorrow or another engaging in this same activity when they are a year older. That is, we examined whether children understood that the closer in time a future event, the more intense the currently felt emotion. Starting at age 4, children correctly judged which child was more 'happy'/'sad' right now. However, 4- to 6-year-olds tended not to explain their judgements by referring to temporal distance, per se. Results suggest that children are sensitive to temporal distance early in development, but do not yet verbally express this understanding. Implications for theories about children's future thinking and future areas of research are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".